基于人工神经网络的经济预测模型
기우인공신경망락적경제예측모형
Economic Forecasting Model Based on Artificial Neural Network
  • 万方数据
    计算技术与自动化 계산기술여자동화
    COMPUTING TECHNOLOGY AND AUTOMATION
    2014年 1期 132-136 ,共5页

    郭庆春%何振芳

    곽경춘%하진방

    改进BP算法%神经网络%GDP%时间序列 改進BP算法%神經網絡%GDP%時間序列
    개진BP산법%신경망락%GDP%시간서렬
    improved BP algorithm%neural network%gross domestic product%time serial
    运用不同改进 BP 算法来建立和训练人工神经网络经济预测模型，并对 GDP 进行预测，结果表明：模拟值与实际值吻合较好，基于改进BP神经网络模型预测精度高，模型的通用性和实用性强。
    운용불동개진 BP 산법래건립화훈련인공신경망락경제예측모형，병대 GDP 진행예측，결과표명：모의치여실제치문합교호，기우개진BP신경망락모형예측정도고，모형적통용성화실용성강。
    The economic prediction models of neural networks were established and trained by different improved algo-rithms.The research results show:simulated values and real values are in good agreement.The model based on the im-proved BP neural network of GDP has high forecast precision,strong universality and practicality.
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